This paper examines and identifies issues associated with the applicability of FCA on sample data provided by a CUBIST use-case partner. The paper explains the various steps related to the transformation of these data to formal contexts, such as preprocessing, cleansing and simplification, as well as preprocessing and limitation issues, by using two FCA tools currently being developed in CUBIST...

zation for actuaries of all specialties within the United States. The Academy is nonpartisan and assists the public po l i cy p rocess by providing indepe n d e n t, a ct u a rial information to elected officials and regulators. This issue brief is intended to bring the actuarial perspective into the public discussion of the issues and was pre p a red by the Academy Work Group on Medicare Expan...

We propose a novel application of Formal Concept Analysis (FCA) to neural decoding: instead of just trying to figure out which stimulus was presented, we demonstrate how to explore the semantic relationships in the neural representation of large sets of stimuli. FCA provides a way of displaying and interpreting such relationships via concept lattices. We explore the effects of neural code spars...

The env open reading frames of African lion (Panthera leo) lentivirus (feline immunodeficiency virus [FIV(Ple)]) subtypes B and E from geographically distinct regions of Africa suggest two distinct ancestries, with FIV(Ple)-E sharing a common ancestor with the domestic cat (Felis catus) lentivirus (FIV(Fca)). Here we demonstrate that FIV(Ple)-E and FIV(Fca) share the use of CD134 (OX40) and CXC...

In the natural sciences, mathematics and technical subjects, universities often observe generally low pass rates and high drop out rates in the first years. Many students seem to have conceptual difficulties with technical and mathematical materials. Furthermore, physics education research appears to indicate that even students who are able to pass exams may still not have a good understanding ...

In this paper, we are interested in the analysis of sequential data and we propose an original framework based on Formal Concept Analysis (FCA). For that, we introduce sequential pattern structures, an original specification of pattern structures for dealing with sequential data. Pattern structures are used in FCA for dealing with complex data such as intervals or graphs. Here they are adapted ...

Low-Earth Orbit (LEO) satellite systems are intended to have an important part of the future generation of mobile telecommunication systems. They aim to provide di erent services to various populations of users. Each class of users requires a certain Quality of Service (QoS) and thus a given part of the shared channel resource. In this paper, LEO satellite systems based on an earthxed cell conc...

This paper introduces granular computing (GrC) into formal concept analysis (FCA). It provides a unified model for concept lattice building and rule extraction on a fuzzy granularity base for different granulations. One of the strengths of GrC is that larger granulations help to hide some specific details, whereas FCA in a GrC context can prevent losses due to concept lattice complexity. Howeve...

Formal Concept Analysis (FCA) is useful in many applications, not least in data analysis. In this paper, we apply the FCA approach to the problem of classifying sets of sets of durations of time, for the purposes of storing them in a database. The database system in question is, in fact, an object-oriented text database system, in which all objects are seen as arbitrary sets of integers. These ...

The dehydration-rehydration vesicle (DRV) method was used to encapsulate hepatitis B surface antigen (HBsAg) in phosphatidylcholine (PC) and distearoyl phosphatidylcholine (DSPC) liposomes giving entrapment values of 31.7% and 33.1% respectively. A comparison of antibody levels, as determined by ELISA, in the primary and secondary immune responses in mice immunized twice with 1 microgram HBsAg ...